Estimation of Anthocyanins in Apple Leaves Based on Ground Hyperspectral Imaging and Machine Learning Models by Yu Zhang, Mi Zou, Yanjun Li, Qingrui Chang, Xing Chen, Zhiyong Dai, Weihao Yuan

“…The original hyperspectral imaging at wavelengths before 720 nm shows a decrease in reflectance as the growth stages progress, while the spectral curves after 720 nm remain largely consistent across stages; (2) Compared to single original spectral variables, multivariate estimation models using original spectra and second-order derivative transformed spectra show improved accuracy for anthocyanins estimation across different growth stages, with the most significant improvement during the Fruit Enlargement stage; (3) Although the computation of the three-band spectral indices is resource-intensive and time-consuming, it can enhance anthocyanins estimation accuracy; (4) Among all models, the CatBoost model based on original spectra and second-order derivative transformed spectra indices for the entire growth period achieved the highest accuracy, with a validation set R² of 0.934 and a RPD of 3.888, and produced effective leaf anthocyanins inversion maps. …”
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Transforming traffic accident investigations: a virtual-real-fusion framework for intelligent 3D traffic accident reconstruction by Yanzhan Chen, Qian Zhang, Fan Yu

“…This study proposes a novel virtual-real-fusion simulation framework that integrates traffic accident generation, unmanned aerial vehicle (UAV)-based image collection, and a 3D traffic accident reconstruction pipeline with advanced computer vision techniques and unsupervised 3D point cloud clustering algorithms. …”
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Investigation of Sandstone Mesostructure Damage Caused by Freeze-Thaw Cycles via CT Image Enhancement Technology by Hui Liu, Gengshe Yang, Yehui Yun, Jianghao Lin, Wanjun Ye, Huimei Zhang, Yao Zhang

“…In this regard, this paper proposes a quantitative evaluation method based on computed tomography (CT) scanning technology for investigating the mesostructure and damage characteristics of sandstone subjected to freeze-thaw conditions. …”
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Fully automated segmentation and classification of renal tumors on CT scans via machine learning by Jang Hee Han, Byung Woo Kim, Taek Min Kim, Ji Yeon Ko, Seung Jae Choi, Minho Kang, Sang Youn Kim, Jeong Yeon Cho, Ja Hyeon Ku, Cheol Kwak, Young-Gon Kim, Chang Wook Jeong

“…Materials and methods The model was developed using computed tomography (CT) images of pathologically proven renal tumors collected from a prospective cohort at a medical center between March 2016 and December 2020. …”
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Genetic Artificial Hummingbird Algorithm-Support Vector Machine for Timely Power Theft Detection by Emmanuel Gbafore, Davies Rene Segera, Cosmas Raymond Mutugi Kiruki

“…The methodology entailed data preprocessing, data split into training, validation, and testing sets in an 80-10-10 ratio, z-score normalization, optimization, training, validation, testing, and computation of six evaluation metrics. Its performance is compared with 13 metaheuristic classifiers and the conventional support vector machine. …”
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Impact of morphological traits and irrigation levels on fresh herbage yield of sorghum x sudangrass hybrid: Modelling data mining techniques. by Halit Tutar, Senol Celik, Hasan Er, Erdal Gönülal

“…Plant height of 251.22 cm, stem diameter of 7.03 mm, fresh herbage yield of 8010.69 kg da-1, crude protein ratio of 9.09%, acid detergent fiber 33.23%, neutral detergent fiber 57.44%, acid detergent lignin 7.43%, dry matter digestibility of 63.01%, dry matter intake 2.11%, and relative feed value of 103.02 were the descriptive statistical values that were computed. Model fit statistics, including coefficient of determination (R2), adjusted R2, root of mean square error (RMSE), mean absolute percentage error (MAPE), standard deviation ratio (SD ratio), Mean Absolution Error (MAE) and Relative Absolution Error (RAE), were used to evaluate the prediction abilities of the fitted models. …”
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Correlation between the Severity of Metabolic Dysfunction-Associated Fatty Liver Disease and Serum Uric Acid to Serum Creatinine Ratio by Jing Liu, Hongye Peng, Che Wang, Yutong Wang, Rongrui Wang, Jixiang Liu, Tianhui Zhou, Shukun Yao

“…Methods. 228 participants were enrolled and divided into 2 groups, including mild MAFLD and non-MAFLD group and moderate-severe MAFLD group, based on liver/spleen computed tomography (CT) ratios. The correlations between sUA/Cr and the severity of MAFLD were analyzed by logistic and linear regression. …”
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Information retrieval interfaces in virtual reality-A scoping review focused on current generation technology. by Maurice Schleußinger

“…The Information Retrieval user experience has remained largely unchanged since its inception for computers and mobile devices alike. However, recent developments in Virtual Reality hardware (pioneered by Oculus Rift in 2013) could introduce a new environment for Information Retrieval. …”
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Prenatal exposure to polycyclic aromatic hydrocarbons and blood pressure in the early life of children by Xiaodong Chen, Lingling Dong, Lina Yang, Yan Yang, Liyu Yang, Sijia Han

“…Additionally, we applied quantile g-computation (g-comp) and Bayesian kernel machine regression (BKMR) to assess the combined and interaction effects of multiple PAH metabolites. …”
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Design and modeling of a highly compact negative index floral shape metamaterial for flight navigation applications by M. Pallavi, Praveen Kumar, B. R. Shivakumar

“…The results indicate that the proposed structure retains its DNG behavior in the desired frequency range, regardless of the incident angles. The computed effective medium ratio of the structure is 13.47 at the CAS central frequency (1.06 GHz), highlighting its compactness and efficacy. …”
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Reliability of Upper Extremity Functional Performance Tests for the Non-overhead Athlete by Bryan L Riemann, George J Davies

“…Measures of systematic bias, absolute reliability and relative reliability were computed between the sessions. Additionally, correlational analyses were conducted between the three UEFPT…”
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Under a not so white sky: visual impacts of stratospheric aerosol injection by Ansar Lemon, David W Keith, Steve Albers

“…We use population density and AOD data to compute the distribution of AODs people experience and then simulate sky images for the 10th, 50th, and 90th percentiles of that distribution. …”
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Problematic issues of using the toolkit of economic cybernetics by V. Persianov, A. Kurbatova

“…Agreeing, that setting limits to the possibilities of computer modeling in advance is impossible, it must be recognized, that the machines created by cybernetics, remain only an objectification – a “truncated” (incomplete) form of any kind of human activity, including management (purposing, selection of criteria, decision-making, etc.).The goal setting requires at least a normal human intelligence. …”
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Information Security and Artificial Intelligence–Assisted Diagnosis in an Internet of Medical Thing System (IoMTS) by Pi-Yun Chen, Yu-Cheng Cheng, Zi-Heng Zhong, Feng-Zhou Zhang, Neng-Sheng Pai, Chien-Ming Li, Chia-Hung Lin

“…The internet of medical thing system (IoMTS) comprises the fifth-generation (5G) networking technology that collects and shares digital data from signal- or image-capturing devices through computer and wireless communication networks. This framework enables healthcare professionals to gain immediate visibility into a patient’s condition and facilitates communication with patients and family members. …”
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Fabrication of Hollow Needle Tips with Nanoholes by Plasma Maskless Processing and Calculation and Detection of Complex Surface Edges by Zuocai Dai, Sha Zhou, Tongguang Yang, Yanpeng Wang

“…In this study, a hollow needle tip with nanoholes was fabricated by plasma maskless processing, and use edge computing to calculate the complex surface shape of the needle tip. …”
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Interconnection algorithm of a wide range of pervasive devices for the Internet of things by Tao Chi, Ming Chen

“…This methodology looks promising, not only for the results presented and obtained through computer simulations but also for its generality concerning to the kind of wireless network system used. …”
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Predictors of Intestinal Parasites among Food Handlers in Goba Town, Southeast Ethiopia, 2020 by Abate Lette, Getahun Negash, Musa Kumbi, Abduljewad Hussen, Jeylan Kassim, Demisu Zenbaba, Habtamu Gezahgn, Mitiku Bonsa, Rameto Aman, Adem Abdulkadir

“…The SPSS version 20 computer software was used to enter and clean the data, code it, and analyze it. …”
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A Cloud-Based Optimized Ensemble Model for Risk Prediction of Diabetic Progression—An Azure Machine Learning Perspective by V. K. Daliya, T. K. Ramesh

“…The experiment is performed and implemented in Microsoft’s Azure cloud, using Azure Machine Learning service, that leverages the advantages of cloud computing with respect to scalability, security and its potential integration possibilities into IoT-based smart healthcare systems.This aspect highlights its versatility and impact with respect to remote monitoring of patients as well. …”
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Properties, Characteristics and Parameters of Permanent Magnet Synchronous Motors under Vector and Scalar Frequency Control by B. I. Firago, S. V. Aleksandrovsky

“…According to the presented methodology the OMRON SGMH-50D engine parameters have been determined for scalar frequency control and the function of g = f(a) have been computed.…”
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Approach to the organization of decision support in the formulation of innovative regional development strategies applying adaptive-simulation model by L. Chernyakhovskaya, M. Nizamutdinov, V. Oreshnikov, A. Atnabaeva

“…The result of the study is a theoretical justification for the development of problem-oriented DSS, including a description of the interrelated stages, determining the main design features of this toolkit.As a part of the study, a conceptual scheme of implementation of the decision support system in the field of management of regional innovative development has been proposed, the key functional blocks of the proposed tools have been described, the place of existing tools in the structure of the regional development management system has been determined, the possibilities of its use in the formation of forecast-planned assessments of regional development, as well as the evaluation of the effectiveness of alternative management actions, have been shown.In our opinion, the proposed tools will expand the possibilities of applying the management theory and decision support methods, intelligent information technology, economic and mathematical methods, modern computer simulation technologies for strategic planning of socio-economic systems of macro- and meso-level. …”
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